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OUTPUT:
/usr/local/lib/python3.9/dist-packages/scipy-1.8.1-py3.9-linux-x86_64.egg/scipy/interpolate/_rbf.py:266: LinAlgWarning: Ill-conditioned matrix (rcond=1.92779e-33): result may not be accurate.
self.nodes = linalg.solve(self.A, self.di)
If useful I can upload the json file
Thanks for the support.
The text was updated successfully, but these errors were encountered:
Wow! I've seen some strange heatmaps, but don't think I've seen this variety before.
The JSON file would probably be helpful.
Just to set expectations, I'm going to guess that the Ill-conditioned matrix (rcond=1.92779e-33): result may not be accurate. message might be related. Unfortunately, I don't understand the actual heat map code AT ALL; I got that from another project, and it's completely over my head.
Bug Report
The resulting map look like this:
Installation Method
Running survey with docker on Ubuntu 24.04.01
Actual Output
docker run -it --rm -v $(pwd):/pwd -w /pwd jantman/python-wifi-survey-heatmap:23429a4 wifi-heatmap secondoPianoWifiUffici2.4ghz
OUTPUT:
/usr/local/lib/python3.9/dist-packages/scipy-1.8.1-py3.9-linux-x86_64.egg/scipy/interpolate/_rbf.py:266: LinAlgWarning: Ill-conditioned matrix (rcond=1.92779e-33): result may not be accurate.
self.nodes = linalg.solve(self.A, self.di)
If useful I can upload the json file
Thanks for the support.
The text was updated successfully, but these errors were encountered: